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Research Analyst - Brain Health Imaging Centre

Ocean State Job Lot - 4 Jobs

Toronto, ON

Posted 8 days ago

Job Details:

Full-time
Entry Level

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Research Analyst - Brain Health Imaging Centre

Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change. CAMH is more than a hospital, it is a cause. CAMH is on a mission to change the way society thinks about and responds to mental illness. They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system - a world where Mental Health is Health.

To learn more about CAMH, please visit their website at:

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The Centre for Addiction and Mental Health is currently seeking a full time, contract (8 month) Research Analyst to join the Brain Health Imaging Center working on machine learning models predicting clinical outcomes. The lab is conducting several clinical neuroscience research studies to understand relationships between brain functioning, brain structure, and behavior across psychiatric disorders such as major depression and dementia. Reporting to the Research Laboratory Manager, your responsibilities will include: building machine learning pipelines, data analysis and interpretation, integration of different data modalities (neuroimaging, cognitive, clinical data); preparing findings for presentations and peer reviewed research papers; and knowledge transfer activities in the community. This role will also include opportunities for training students in AI and coding, liaising with study investigators, assisting in grant submissions and other duties as assigned. You will receive training and support and will contribute to a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements. This position is located at 250 College Street with some occasional travel to 100 Stokes Street.

The successful candidate will have a Bachelor's degree with a background in life sciences (e.g., neuroscience), Computer Sciences, with one year of relevant experience with machine learning and AI in healthcare.

  • Previous experience in machine learning, computer science and coding is required. A foundation in computer science and statistics is an asset.
  • You will have proficiency with Microsoft Office, online academic search engines (e.g., PsycINFO, PubMed, MedLine), database software packages.
  • You will have experience with Matlab, Python, and/or shell/bash scripting as well as basic analyses using statistical packages (e.g., tensorflow, regularized elastic nets, partial least squares regression, deep neural networks, graph convolutional neural nets) and data interpretation.
  • Proficiency with neuroimaging and data analysis software and visualization (e.g., brain networks, MRI brain maps) packages is an asset.
  • Experience with neuroimaging is an asset.
  • Excellent interpersonal, written and verbal communication and organization skills are required.
  • You will possess the ability to effectively handle confidential information and exercise initiative with good judgment and tact.
  • The ideal candidate will have the ability to multitask and produce high quality, accurate work while meeting program deadlines.
  • Experience with knowledge transfer activities is an asset, as is prior presentation and academic writing experience.
  • Candidates require the ability to work effectively in a wide range of settings with individuals from diverse backgrounds.
  • Bilingualism (French/English) and/or proficiency in another language is an asset.

Please Note: This full time, 8 month contract is part of the OPSEU bargaining unit.

CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital.

CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.

CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.

We welcome applicants from all backgrounds. Thank you to all who apply; however, only those selected for an interview will be contacted. If you require accommodations during the application or recruitment process, please let us know.

CAMH is committed to creating an equitable and inclusive workplace that is free from any form of discrimination and harassment. We actively encourage individuals from equity deserving communities, including First Nations, Métis and Inuit, racialized communities, LGBTQ2S+ communities, women, and people with disabilities (including those who have experienced mental health and substance use challenges) to apply for our available positions. We appreciate the interest of all applicants and wish to ensure that all candidates have an equitable opportunity. If you require any accommodations during the interview process, please inform us. If you believe you need a reasonable accommodation to search for a job opening or to apply for a position, please contact us by emailing or calling x 32400. Please note that we will not respond to any calls or emails related to employment inquiries.

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